medical-imaging-review
Write comprehensive literature reviews for medical imaging AI research
Install / Use
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill medical-imaging-reviewInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Content & MediaSupported Platforms
Our assessment of medical-imaging-review
medical-imaging-review scores 88/100 on our quality scale, 248th of 574 Content & Media skills we index (top 44%).
Its SKILL.md is 4.8 KB long, well organised into 36 sections with 4 code examples: a solid amount of guidance for an agent.
With 4,360 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 3 days ago, so medical-imaging-review is actively maintained.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 88/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
medical-imaging-review compared with similar skills
All 4 of these similar skills score higher than medical-imaging-review; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| medical-imaging-review (this skill)by brycewang-stanford | 88 | 4.4k | 3d ago | SKILL.md |
| siyuanby siyuan-note | 100 | 46.5k | today | MCP Server |
| algorithmic-artby anthropics | 100 | 177.9k | 4d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 4d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 5d ago | SKILL.md |
Frequently asked questions
- How do I install medical-imaging-review?
- Run
npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill medical-imaging-review. The install tabs above show the steps for each supported agent. - Which AI agents does medical-imaging-review work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is medical-imaging-review safe to use?
- It declares no license and scores 88/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is medical-imaging-review still maintained?
- The repository was last updated 3 days ago, so medical-imaging-review is actively maintained.
Skill content
View source on GitHubname: medical-imaging-review description: > Write comprehensive literature reviews for medical imaging AI research. Use when writing survey papers, systematic reviews, or literature analyses on topics like segmentation, detection, classification in CT, MRI, X-ray, ultrasound, or pathology imaging. Triggers on requests for "review paper", "survey", "literature review", "综述", "systematic review", or mentions of writing academic reviews on deep learning for medical imaging. metadata: author: user version: "2.0.0" allowed-tools:
- Read
- Write
- Edit
- Glob
- Grep
- Bash
- WebSearch
- WebFetch
- Task
- mcp__arxiv-mcp-server__search_papers
- mcp__arxiv-mcp-server__download_paper
- mcp__arxiv-mcp-server__read_paper
- mcp__pubmed-mcp-server__pubmed_search_articles
- mcp__zotero__zotero_search_items
- mcp__zotero__zotero_get_item_fulltext
<!-- ╔══════════════════════════════════════════════════════════════╗ ║ 本文件为开源 Skill 原始文档,收录仅供学习与研究参考 ║ ║ CoPaper.AI 收集整理 | https://copaper.ai ║ ╚══════════════════════════════════════════════════════════════╝ 来源仓库: https://github.com/luwill/research-skills 项目名称: research-skills 开源协议: MIT License 收录日期: 2026-04-02 声明: 本文件版权归原作者所有。此处收录旨在为社会科学实证研究者 提供 AI Agent Skills 的集中参考。如有侵权,请联系删除。 -->
Medical Imaging AI Literature Review Skill
Write comprehensive literature reviews following a systematic 7-phase workflow.
Quick Start
-
Initialize project with three core files:
CLAUDE.md- Writing guidelines and terminologyIMPLEMENTATION_PLAN.md- Staged execution planmanuscript_draft.md- Main manuscript
-
Follow the 7-phase workflow (see references/WORKFLOW.md)
-
Use domain-specific templates (see references/DOMAINS.md)
Core Principles
Writing Style
- Hedging language: "may", "suggests", "appears to", "has shown promising results"
- Avoid absolutes: Never say "X is the best method"
- Citation support: Every claim needs reference
- Limitations: Each method section needs a Limitations paragraph
Required Elements
- Key Points box (3-5 bullets) after title
- Comparison table for each major section
- Performance metrics: Dice (0.XXX), HD95 (X.XX mm)
- Figure placeholders with detailed captions
- References: 80-120 typical, organized by topic
Paragraph Structure
Topic sentence (main claim)
→ Supporting evidence (citations + data)
→ Analysis (critical evaluation)
→ Transition to next paragraph
Literature Sources
Use multi-source strategy for comprehensive coverage:
| Source | Best For | Tools |
|--------|----------|-------|
| ArXiv | Latest DL methods, preprints | search_papers, read_paper |
| PubMed | Clinical validation, peer-reviewed | pubmed_search_articles |
| Zotero | Existing library, organized refs | zotero_search_items |
For MCP configuration details, see references/MCP_SETUP.md.
Standard Review Structure
# [Title]: State of the Art and Future Directions
## Key Points
- [3-5 bullets summarizing main findings]
## Abstract
## 1. Introduction
### 1.1 Clinical Background
### 1.2 Technical Challenges
### 1.3 Scope and Contributions
## 2. Datasets and Evaluation Metrics
### 2.1 Public Datasets (Table 1)
### 2.2 Evaluation Metrics
## 3. Deep Learning Methods
### 3.1 [Category 1]
### 3.2 [Category 2]
(Table 2: Method Comparison)
## 4. Downstream Applications
## 5. Commercial Products & Clinical Translation (Table 3)
## 6. Discussion
### 6.1 Current Limitations
### 6.2 Future Directions
## 7. Conclusion
## References
Method Description Template
### 3.X [Method Category]
[1-2 paragraph introduction with motivation]
**[Method Name]:** [Author] et al. [ref] proposed [method], which [innovation]:
- [Key component 1]
- [Key component 2]
Achieves Dice of X.XX on [dataset].
**Limitations:** Despite advantages, [category] methods face:
(1) [limit 1]; (2) [limit 2].
Citation Patterns
# Data citation
"...achieved Dice of 0.89 [23]"
# Method citation
"Gu et al. [45] proposed..."
# Multi-citation
"Several studies demonstrated... [12, 15, 23]"
# Comparative
"While [12] focused on..., [15] addressed..."
Reference Files
| File | Purpose | |------|---------| | references/WORKFLOW.md | Detailed 7-phase workflow | | references/TEMPLATES.md | CLAUDE.md and IMPLEMENTATION_PLAN.md templates | | references/DOMAINS.md | Domain-specific method categories | | references/MCP_SETUP.md | MCP server configuration | | references/QUALITY_CHECKLIST.md | Pre-submission quality checklist |
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Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
